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User-guided line abstraction using coherence and structure analysis
Journal article   Open access   Peer reviewed

User-guided line abstraction using coherence and structure analysis

Hui-Chi Tsai, Ya-Hsuan Lee, Ruen-Rone Lee and Hung-Kuo Chu
Computational Visual Media, Vol.3(2), pp.177-188
06/2017

Abstract

coherence strokes interactive drawing line abstraction stroke matching structure strokes Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Artificial Intelligence
Line drawing is a style of image abstraction where the perceptual content of the image is conveyed using distinct straight or curved lines. However, extracting semantically salient lines is not trivial and mastered only by skilled artists. While many parametric filters have successfully extracted accurate and coherent lines, their results are sensitive to parameter choice and easily lead to either an excessive or insufficient number of lines. In this work, we present an interactive system to generate concise line abstractions of arbitrary images via a few user specified strokes. Specifically, the user simply has to provide a few intuitive strokes on the input images, including tracing roughly along edges and scribbling on the region of interest, through a sketching interface. The system then automatically extracts lines that are long, coherent and share similar textural structures to form a corresponding highly detailed line drawing. We have tested our system with a wide variety of images. Our experimental results show that our system outperforms state-of-the-art techniques in terms of quality and efficiency.
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https://doi.org/10.1007/s41095-016-0076-yView
Published (Version of record) Open

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